Research map / Adversarial robustness and security / Attacks on text and graphs
Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add FAAP input perturbations | Normal training ResNet-18 · CelebA Smiling | DEO: 0.0774 -> 0.0327 | Helped |
| Add FAAP input perturbations | Normal training ResNet-18 · CelebA Attractive | DEO: 0.5683 -> 0.0621 | Helped |
| Add FAAP input perturbations | Normal training ResNet-18 · CelebA Blond_Hair | DEO: 0.5299 -> 0.1013 | Helped |
| Add FAAP input perturbations | Normal training ResNet-18 · LFW Smiling | DEO: 0.1472 -> 0.0534 | Helped |
| Add FAAP perturbations generated using surrogate models | Commercial face analysis APIs · Alibaba API | DEO: 0.0952 -> 0.0368 | Helped |
| Add FAAP perturbations generated using surrogate models | Commercial face analysis APIs · Baidu API | DEO: 0.1035 -> 0.0387 | Helped |
| Add FAAP input perturbations | Normal training ResNet-18 · CelebA Attractive | ACC: 82.43% -> 79.73% | Hurt |
| Add FAAP perturbations generated using surrogate models | Commercial face analysis APIs · Baidu API | ACC: 90.47% -> 87.58% | Hurt |
Closest papers by meaning
- Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces (AAAI 2024 · similarity 0.89)
- Towards Fairness-Aware Adversarial Learning (CVPR 2024 · similarity 0.88)
- Adversarial Fairness Network (AAAI 2024 · similarity 0.88)
- On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness (ICML 2025 · similarity 0.88)
- On the Fairness ROAD: Robust Optimization for Adversarial Debiasing (ICLR 2024 · similarity 0.87)
- DAFA: Distance-Aware Fair Adversarial Training (ICLR 2024 · similarity 0.87)
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